We are a small team in a big company, mainly adopting agile methodology. We provide Data Science solutions for internal customers inside Deutsche Telekom and our skills and solutions are continually in high demand. Therefore, we want to increase the size of our team with additional technical people that know how to process and analyze data so we can serve and satisfy needs of even more customers.
We are looking for somebody who can work independently, create working solutions quickly, creatively come up with new ideas, but also knows how to use and where to look for existing solutions. Our project members are situated in Germany, Czech Republic, Slovakia and Romania so video conferencing is the daily standard.

Key Responsibilities

• You will be applying Deep learning approaches like (Bi-)LSTM and transformer based models on our NLP products for  internal customers of the Deutsche Telekom group
• You will prepare training & evaluation pipelines and apply state of the art Machine Learning approaches to improve processes in Finance (Controlling, Treasury, Accounting), Procurement, HR, and others
• You will contribute in designing & implementing prototypes of innovative NN applications in Python
• You will cooperate with the business side including your active contribution in customer workshops, meetings, and calls so the ability to explain technical points to business colleagues is a crucial part of this job, as is a consultant’s mindset
• You will participate in team brainstorming sessions, code reviews, and pair programming sessions
• Depending on the use case, you will have the opportunity to work with a variety of tools and technologies like SAP, Scikit-learn, Keras, Spacy, Docker, Kubernetes, Flask or Tesseract and BI dashboarding tools like MicroStrategy, Qlik, Tableau, … knowledge of these is helpful
• You will have the chance to identify possible use cases for automation and data science, innovative ideas are welcome

Competence Profile

• Language: Fluent written and spoken English, German skills would be an advantage
• Education in the IT field would be beneficial
• More than 4 years working experience with Data Science projects, preferably with text data and related language models
• Preferably you have experience in working with LLMs / generative models
• You are good at programming  in Python and are confident of working with APIs.
• We work with Jupyter Notebook and other IDEs. Experience with these tools is more than welcome but not necessary
• You are aware of and willing to apply Agile methodology (Scrum, XP, Kanban, etc.)
• You are not afraid to ask questions when something is not clear or point out when something seems inefficient to you
• You are an analytical thinker, have an affinity for structure, grasp things fast and work systematically
• You can develop working solutions quickly and you get things done

Interpersonal Skills

• Proactivity towards customer service is essential.
• Flexible and responsive to changing work patterns and demands
• A thorough and methodical approach to work
• Highly developed skills in interpersonal communication
• Knowledge sharing – active contributor.